Daniel Runcie, Ph.D.

daniel runcie

Associate Professor

  • Plant Sciences
He/Him/His
One Shields Avenue, Davis CA 95616
Publications
  • Environmental data provide marginal benefit for predicting climate adaptation
    Journal Article | Li, F., Gates, D., Buckler, E., Hufford, M., Janzen, G., Rellán-Álvarez, R., Rodríguez-Zapata, F., Navarro, J., Sawers, R., Snodgrass, S., Sonder, K., Willcox, M., Hearne, S., Ross-Ibarra, J., Runcie, D. PLOS Genetics, 21, e1011714. 10.1371/journal.pgen.1011714
  • Genetic variation at transcription factor binding sites largely explains phenotypic heritability in maize
    Journal Article | Engelhorn, J., Snodgrass, S., Kok, A., Seetharam, A., Schneider, M., Kiwit, T., Singh, A., Banf, M., Doan, D., Khaipho-Burch, M., Runcie, D., Sánchez-Camargo, V., Bader, R., Vladimir Torres-Rodriguez, J., Sun, G., Stam, M., Fiorani, F., Beier, S., Schnable, J., Bass, H., Hufford, M., Stich, B., Frommer, W., Ross-Ibarra, J., Hartwig, T.
  • Global genotype by environment prediction competition reveals that diverse modeling strategies can deliver satisfactory maize yield estimates
    Journal Article | Washburn, J., Varela, J., Xavier, A., Chen, Q., Ertl, D., Gage, J., Holland, J., Lima, D., Romay, M., Lopez-Cruz, M., de los Campos, G., Barber, W., Zimmer, C., Silva, I., Rocha, F., Rincent, R., Ali, B., Hu, H., Runcie, D., Gusev, K., Slabodkin, A., Bax, P., Aubert, J., Gangloff, H., Mary-Huard, T., Vanrenterghem, T., Quesada-Traver, C., Yates, S., Ariza-Suárez, D., Ulrich, A., Wyler, M., Kick, D., Bellis, E., Ca
  • MegaLMM improves genomic predictions in new environments using environmental covariates
    Journal Article | Hu, H., Rincent, R., Runcie, D. Genetics, 229, iyae171. 10.1093/genetics/iyae171
  • Megavariate methods capture complex genotype-by-environment interactions
    Journal Article | Xavier, A., Runcie, D., Habier, D. Genetics, 229, iyae179. 10.1093/genetics/iyae179
  • See publications and more on Aggie Experts: https://experts.ucdavis.edu/expert/kfQDSSWi